I was creating a second version of a pricing engine I built. Claude decided to deploy onto my live site, and then overwrote the local file where the latest updates for that code lived, apparently. The last commit to git was two weeks ago. So, I think I just lost 2 weeks of de-bugging code cause I didn't commit the latest version to git. Is this real? Did I just skip the most important step -- saving my work? This is a real thing, right?

I'm curious about something. Of everything you've gone through so far... What's the ONE idea you know you'll come back to? - Not necessarily the most impressive lesson. - Not the most complicated one. The thing that made you think: "I need to remember this." Drop it below and tell me why. Seeing what sticks with everyone is also going to help us understand which parts of these roadmaps are having the biggest impact. And remember: Don't skip the accountability posts. Writing down what you understood is part of the process. Let's see what everyone pulled out of The Vault. 👇

Folders, not frameworks: how Taurus makes Claude repeatable for a whole team Giving an AI agent the right context at the right moment is still the hardest part of using coding agents like Claude Code in real, daily work. We've all felt it: the agent is brilliant when it knows where it is, and frustrating when it doesn't. So how do you give it that context — reliably, for more than one person? A small team will work but what happens when you try to on-board 100+ people? The popular answers don't scale. Elaborate memory systems help a single power user, but in an enterprise they become a liability: they're hard to curate, easy to pollute, and brittle the moment you add more people and more projects. And anything built around one person's bespoke setup — their servers, their wiring, their mental model — is expensive to onboard a whole team onto. Honestly, the wheel hasn't been invented yet. Nobody has a clean, proven answer for how context should work at enterprise scale. This is where the Interpreted Context Methodology (ICM) changes the conversation. Its core idea is deceptively simple: folder structure as agent architecture. Instead of orchestration code or a sprawling memory store, the context lives in the folders themselves. A workspace is just numbered folders for each stage, with markdown files (CLAUDE.md, conventions, reference material, working artifacts) that load in layers when an agent starts there. The agent reads downward and stops when it has enough — typically 2–8k tokens instead of 30–50k. You "configure the factory, not the product": set the workspace up once, then every run reuses it with new inputs. Outputs are plain text, editable, reviewable at every step. ICM is elegant because it's filesystem-native and human-readable — a non-developer can reshape a workflow by moving files. But it has one practical dependency that's easy to overlook: When you add more and more folders agents begin to skip information. Guidelines are missed, rules are overlooked. What worked for one person doesn't work for another because the model scans economically and thinks it knows enough. The solution is again simple, the agent has to actually start in the right folder. Start in a central place and the layered context never loads; start in the right place and the agent is instantly grounded. In a team, "just cd to the correct directory" is exactly the kind of invisible, error-prone step that breaks repeatability.

This is the research page. Repos worth studying, organized by what you're trying to build. Claude Code wrappers, chat interfaces, workflow visualizers, design skills. You don't need all of them. Pick the ones that match what you're building. Which category did you dig into?

This is for people who are not technical. Someone with a normal job who saw something on YouTube and wants to be able to make something similar for practical use. Live with Danney Trieu · Four months ago I had never made a single AI video. I'm not a deeply technical person and never done any film in my life before, I'm just very passionate about this space. I figured out where the decisions live — which ones you hand to the machine, and which ones you take back. Then I found Jake & ICM just like many of you. Once I saw his method, everything got easier. More valuable than that, I found this awesome community that keep motivating me and supporting me. I like to give it back.. Every Saturday, I'm hosting a Skool webinar here: 🚩*UPDATE (09/22): Class cancel on 26th. I have to fly out to prepare for a visual staging concert in Vegas. I hope to learn a lot from this experience and bring back what some knowledge for you guys. Until then, keep on vibe filming ! Session records: https://drive.google.com/drive/folders/1TNk-42gZajrTWw-2tD3Fbn760UE-BeM_ Reelix explainer: https://danneytrieu.github.io/vibe-film-sessions/index.html Higgsfield affiliated link: https://higgsfield.ai/?fpr=nguyen61 My discord channel: https://discord.gg/EKab83ZGB Youtube: https://youtu.be/dryW_H54Rss ━━━━━━━━━━━━━━━━━━━━ Here's what I'm covering -> 🪜THE SIX LEVELS OF AI FILMMAKING 1 · PROMPT — you type it, the model decides everything else 2 · REFERENCE — you stop describing the look and start showing it 3 · MEMORY — your world lives in folders, so you stop re-explaining it 4 · BLOCKING — you decide where the camera goes, not the model 5 · DNA — your taste, written down, applied automatically 6 · AUTOPILOT — you point it at your work and it hands you the shot list